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Advanced Social Infrastructure Lab
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The lab uses mathematics and data to study design that accounts for uncertainty and the management of infrastructure.

AboutAbout the lab
Opening the future of civil engineering across disciplines
The Advanced Social Infrastructure Lab develops new methodologies and theories for civil engineering that are not bound by disciplinary boundaries.
Built on the traditional fields of structural mechanics, soil mechanics, hydraulics, and infrastructure planning, the lab uses them in combination across fields.
On top of this, it brings in data science, probability theory, statistics, optimization, and computer science to solve practical problems.
Its research starts from the situation in Japan: frequent disasters, aging infrastructure, and a declining birthrate and aging population.
Key terms
- Uncertainty
- Variability that cannot be fixed in advance as a single value, such as ground conditions or the loads a structure will receive in the future
- Reliability-based design
- A design approach that accounts for the variability of conditions in terms of probability and then determines the safety of a structure
- Asset management
- An approach that treats roads and bridges as assets and carries out interventions so as to maximize their value
NewsLab news
Associate Professor Mizutani received the American Society of Civil Engineers 2025 Matthew G. Karlaftis Best Paper Award
Associate Professor Mizutani received the Japan Society of Civil Engineers Paper Award for fiscal year 2025 (Reiwa 7)
A master's student received the Presentation Award at the Symposium on Applied Mechanics
A doctoral student received the Encouragement Award from the Journal of Applied Mechanics
ResearchResearch themes
The lab uses the methodologies of the different fields of civil engineering in combination, and layers data science and mathematical methods on top of them. It aims to develop methodologies and new theories for solving practical problems.
*Illustrative imageDesign that accounts for uncertainty
Uncertainty is unavoidable when designing civil infrastructure. For geotechnical structures in particular, the variability of ground conditions and of the loads they receive must be taken into account. The lab combines soil mechanics, numerical simulation, and data science to develop rational design methods.
*Illustrative imageMeasuring disaster risk for levee systems
Cities are protected from floods and heavy rain by linear structures such as river levees. The lab models how flooding spreads over time and space and expresses risk numerically. It develops methods for narrowing down dangerous locations and for optimizing design and monitoring plans.
*Illustrative imageProtecting infrastructure as an asset
As infrastructure ages and the population declines and grows older, asset management has become important as a way of thinking that encompasses conventional maintenance. Based on probability theory, statistics, optimization, and mechanics, the lab develops methodologies for maximizing the value of infrastructure.
MembersFaculty
The members of the Advanced Social Infrastructure Lab consist of faculty, project researchers, secretaries, doctoral, master's, and undergraduate students, working-professional doctoral students, and research students.As of 2026
- ProfessorYu Otake
- Associate ProfessorDaijiro Mizutani
- Assistant ProfessorTomoka Nakamura
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Levee breach site of the Chikuma River in the Hobo district, Nagano, Nagano Prefecture, during Typhoon Hagibis (Typhoon No. 19) in Reiwa 1 (2019)” 国土地理院 / CC BY 4.0 (cropped)
- Design that accounts for uncertainty: “BW-Fertigteilankerwand” Bertbau / Public domain (cropped)
- Measuring disaster risk for levee systems: “Tisza river dike near Mártély, Hungary - panoramio” Maarten Sepp / CC BY-SA 3.0 (cropped)
- Protecting infrastructure as an asset: “Cracked concrete surface on old airfield road - geograph.org.uk - 2610751” Evelyn Simak / CC BY-SA 2.0 (cropped)
- Related lab (Regional Planning and Spatial Design Strategy Lab): “Architecture Site Masterplan Miniature Scale Model” iKix 3D Prints / CC BY-SA 4.0 (cropped)
- Related lab (Transport Control Lab): “Waru Interchange and City of Tomorrow Superblocks, bordering with Surabaya and Sidoarjo (July 2018).” consigliere ivan from Bontang, Indonesia / CC BY 2.0 (cropped)
- Related lab (Disaster Geoinformatics Lab): “Mapping flood with Envisat's radar” Envisat satellite / CC BY-SA 3.0 igo (cropped)
- Related lab (Urban Management Lab): “Sendai city - Hirose river 2005” Kinori / Public domain (cropped)
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